KeyDB can store data on NVMe SSDs, allowing datasets to exceed the capacity of available RAM while maintaining high performance. This is ideal for scenarios with large, infrequently accessed datasets [2]. 3. Enhanced Commands and Subcommands
KeyDB Model: [Client 1] ---> [ Worker Thread 1 ] ---\ [Client 2] ---> [ Worker Thread 2 ] ----> [ Spinlock Protection ] ---> [ Shared Memory Dictionary ] [Client 3] ---> [ Worker Thread 3 ] ---/ 2. KeyDB vs. Redis: Direct Technical Comparison keydb eng
For production deployments, Docker Compose offers a repeatable and scalable configuration. A typical docker-compose.yml might look like this: KeyDB can store data on NVMe SSDs, allowing
Using Conflict-free Replicated Data Types (CRDTs), KeyDB allows active-active replication between geographically separated data centers. This ensures that if one data center goes down, the other can continue accepting writes immediately, providing superior disaster recovery [4]. 2. Flash Storage Support (KeyDB Pro) Enhanced Commands and Subcommands KeyDB Model: [Client 1]
KeyDB uses the SO_REUSEPORT socket option, which allows multiple threads to bind to the same port simultaneously. Each worker thread is pinned to a specific CPU core and uses the SO_INCOMING_CPU feature to receive data directly on its assigned core. This affinity ensures that data stays close to the processing core, reducing cache misses and improving overall throughput.